Xin Hua
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Pollution top 2%
- Surgery top 10%
- Topics
- Head and Neck Cancer Studies (17 papers)Inflammatory Biomarkers in Disease Prognosis (17 papers)Nutrition and Health in Aging (12 papers)
- Cited by
- AgingOtorhinolaryngologyPollution
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xin Hua
208 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 157
- Molecular Biology 1.4k
- Oncology 631
- Cancer Research 426
- Pollution 409
- Surgery 394
Countries citing papers authored by Xin Hua
This map shows the geographic impact of Xin Hua's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xin Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Hua more than expected).
Fields of papers citing papers by Xin Hua
This network shows the impact of papers produced by Xin Hua. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xin Hua. The network helps show where Xin Hua may publish in the future.
Co-authorship network of co-authors of Xin Hua
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Hua. A scholar is included among the top collaborators of Xin Hua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xin Hua. Xin Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | A Novel Inflammatory-Nutritional Prognostic Scoring System for Patients with Early-Stage Breast Cancer | 20 |
| 11 | 5 | |
| 12 | 17 | |
| 13 | 11 | |
| 14 | Role of Rock 1 protein in non-small cell lung cancer | 3 |
| 15 | The role of computer tomography in esophageal cancer surgery | 1 |
| 16 | 6 | |
| 17 | Isolation and identification of bergapten in dry root of Glehnia littoralis and preliminary determination of its antitumor activity in vitro | 7 |
| 18 | The megasporogenesis, microsporagenesis and the development of their female and male gametophyte in Menstruocalamus sichuanensis. | 1 |
| 19 | The Morphological Study of Muller Cells with Enzyme Histochemical Staining in Retina of Induced Diabetic Rats | 1 |
| 20 | Anatomical studies on the development of the floral nectary in Thymus quinquecostatus Celak. | 3 |
About Xin Hua
Xin Hua is a scholar working on Otorhinolaryngology, Aging and Cancer Research, having authored 221 papers that have together received 4.2k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (17 papers), Inflammatory Biomarkers in Disease Prognosis (17 papers) and Nutrition and Health in Aging (12 papers). The work is most often cited by research in Aging (143 citations), Otorhinolaryngology (158 citations) and Pollution (409 citations). Xin Hua has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tim Formosa, Zhe Zhu, Zhi‐Qing Long, Guosheng Gao, Zuoan Huang, Yunjiang Yu, Kehong Lou, Lingyan Fan, Laura McCullough and Ting Cai. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.